Loftus, Tyler J.
University of Florida
14 papers on CoChatORCID 0000-0001-5354-443X
Most cited papers
- Verified
Artificial Intelligence and Surgical Decision-making.
Loftus, T. J., Tighe, P. J., Filiberto, A. C., Efron, P. A., Brakenridge, S. C., Mohr, A. M., Rashidi, P., Upchurch, G. R., & Bihorac, A. (2020) · JAMA Surgery
Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare
Cited by 650
- Verified
DeepSOFA: a continuous acuity score for critically ill patients using clinically interpretable deep learning.
Shickel, B., Loftus, T. J., Adhikari, L., Ozrazgat-Baslanti, T., Bihorac, A., & Rashidi, P. (2019) · Scientific Reports
Machine Learning in HealthcareSepsis Diagnosis and Treatment
Cited by 165
- Verified
Innate Immunity in the Persistent Inflammation, Immunosuppression, and Catabolism Syndrome and Its Implications for Therapy
Horiguchi, H., Loftus, T. J., Hawkins, R. B., Raymond, S. L., Stortz, J. A., Hollen, M. K., Weiss, B. P., Miller, E. S., Bihorac, A., Larson, S. D., et al. (2018) · Frontiers in Immunology
Sepsis Diagnosis and TreatmentInflammation biomarkers and pathways
Cited by 164
- Verified
Serum levels of prealbumin and albumin for preoperative risk stratification
Loftus, T. J., Brown, M. P., Slish, J. H., & Rosenthal, M. D. (2019) · Nutrition in Clinical Practice
Nutrition and Health in AgingClinical Nutrition and Gastroenterology
Cited by 112
- Verified
Uncertainty-aware deep learning in healthcare: A scoping review
Loftus, T. J., Shickel, B., Ruppert, M. M., Balch, J. A., Ozrazgat-Baslanti, T., Tighe, P. J., Efron, P. A., Hogan, W. R., Rashidi, P., Upchurch, G. R., et al. (2022) · PLOS Digital Health
Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare
Cited by 73
- Verified
Equity and Artificial Intelligence in Surgical Care
Johnson-Mann, C. N., Loftus, T. J., & Bihorac, A. (2021) · JAMA Surgery
Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI
Cited by 44
- Verified
Evaluation of Federated learning variations for COVID-19 diagnosis using chest Radiographs from 42 US and European hospitals
Peng, L., Luo, G., Walker, A., Zaiman, Z., Jones, E. K., Gupta, H., Kersten, K., Burns, J. L., Harle, C. A., Magoc, T., et al. (2022) · Journal of the American Medical Informatics Association
Privacy-Preserving Technologies in DataCOVID-19 diagnosis using AI
Cited by 36
- Verified
Machine Learning Applications in Solid Organ Transplantation and Related Complications
Balch, J. A., Delitto, D., Tighe, P. J., Zarrinpar, A., Efron, P. A., Rashidi, P., Upchurch, G. R., Bihorac, A., & Loftus, T. J. (2021) · Frontiers in Immunology
Artificial Intelligence in Healthcare and EducationTransplantation: Methods and Outcomes
Cited by 33
- Verified
Neural network prediction of severe lower intestinal bleeding and the need for surgical intervention.
Loftus, T. J., Brakenridge, S. C., Croft, C. A., Smith, R. S., Efron, P. A., Moore, F. A., Mohr, A. M., & Jordan, J. R. (2017) · Journal of Surgical Research
Gastrointestinal Bleeding Diagnosis and TreatmentAbdominal vascular conditions and treatments
Cited by 27
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Predictive Modeling for Readmission to Intensive Care: A Systematic Review
Ruppert, M. M., Loftus, T. J., Small, C., Li, H., Ozrazgat-Baslanti, T., Balch, J., Holmes, R., Tighe, P. J., Upchurch, G. R., Efron, P. A., et al. (2023) · Critical Care Explorations
Sepsis Diagnosis and TreatmentMachine Learning in Healthcare
Cited by 24
- Verified
Artificial intelligence in surgery: a global balancing act
Kewalramani, D., Loftus, T. J., Mayol, J., & Narayan, M. (2024) · British Journal of Surgery
Artificial Intelligence in Healthcare and EducationGlobal Health and Surgery
Cited by 20
- Verified
Effects of trauma, hemorrhagic shock, and chronic stress on lung vascular endothelial growth factor
Loftus, T. J., Thomson, A. J., Kannan, K. B., Alamo, I. G., Ramos, H. N., Whitley, E. E., Efron, P. A., & Mohr, A. M. (2017) · Journal of Surgical Research
Trauma, Hemostasis, Coagulopathy, ResuscitationRespiratory Support and Mechanisms
Cited by 17
- Verified
Promoting AI Competencies for Medical Students: A Scoping Review on Frameworks, Programs, and Tools
Ma, Y., Song, Y., Balch, J. A., Ren, Y., Vellanki, D., Hu, Z., Brennan, M., Kolla, S., Guan, Z., Armfield, B., et al. (2024) · arXiv
Artificial Intelligence in Healthcare and EducationInnovations in Medical Education
Cited by 16
- Verified
Physiologic signatures within six hours of hospitalization identify acute illness phenotypes
Ren, Y., Loftus, T. J., Li, Y., Guan, Z., Ruppert, M. M., Datta, S., Upchurch, G. R., Tighe, P. J., Rashidi, P., Shickel, B., et al. (2022) · PLOS Digital Health
Sepsis Diagnosis and TreatmentMachine Learning in Healthcare
Cited by 6
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